Hosseini Seyed Mahdi, Ullah Farman, Ahmad Muhammad Zulfiqar, Pasandideh Majid, Liang Aixin, Hua Guohua, Yang Liguo
National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR) College of Animal Science and Technology, Huazhong Agricultural University Wuhan China.
Department of Plant Breeding and Genetics, Faculty of Agriculture Gomal University Dera Ismail Khan Pakistan.
Ecol Evol. 2024 Oct 3;14(10):e11238. doi: 10.1002/ece3.11238. eCollection 2024 Oct.
Codon-based analyses of the gene across 38 vertebrate species were deployed to elucidate patterns of evolutionary change. Employing maximum likelihood assessments through MEGA, we scrutinized 447 codon positions addressing the entire coding region, excluding positions mired by gaps or missing data. Distinct codons manifested variance in selection pressures, particularly codons 4, 11, 66, and 123, which exhibited positive dN-dS values suggestive of positive selection. Codon 137 displayed the most pronounced dN-dS value, signifying intensified selective advantage. Meanwhile, codons 30 and 90 portrayed near-neutral scores, indicative of purifying selection. Complementary computational methods (IFEL, REL, FUBAR, and SLAC) confirmed positive selection at specific codon sites, with varying degrees of corroboration. The integration of mixed-effect modeling (MEME) identified episodic diversifying selection, pinpointing codons that underwent selection episodes in certain lineages. Refined codon model selection lent insight into substitution rates, revealing nuanced degrees of evolutionary conservation among different codons. Supporting these genetic insights, the phylogenetic analysis highlighted relationships among the sequences and domain analysis confirmed conserved features across species, while protein-protein interaction networks suggested a complex web of functional interdependencies. These findings advance our understanding of the gene's evolutionary trajectory and underscore the gene's potential adaptive significance within diverse vertebrate lineages.
基于密码子对38种脊椎动物的该基因进行分析,以阐明进化变化模式。通过MEGA采用最大似然评估,我们仔细研究了整个编码区的447个密码子位置,排除了因缺口或缺失数据而陷入困境的位置。不同的密码子在选择压力上表现出差异,特别是密码子4、11、66和123,它们的dN-dS值为正,表明存在正选择。密码子137显示出最明显的dN-dS值,表明选择性优势增强。同时,密码子30和90呈现接近中性的分数,表明是纯化选择。互补的计算方法(IFEL、REL、FUBAR和SLAC)证实了特定密码子位点的正选择,且有不同程度的佐证。混合效应模型(MEME)的整合确定了间歇性多样化选择,找出了在某些谱系中经历选择事件的密码子。精细的密码子模型选择有助于深入了解替换率,揭示不同密码子之间细微的进化保守程度。系统发育分析支持了这些遗传学见解,突出了序列之间的关系,结构域分析证实了物种间的保守特征,而蛋白质-蛋白质相互作用网络则表明存在复杂的功能相互依赖网络。这些发现推进了我们对该基因进化轨迹的理解,并强调了该基因在不同脊椎动物谱系中的潜在适应性意义。